Publication:
Machine learning approaches to mild cognitive impairment detection based on structural MRI data and morphometric features

Дата
2023
Авторы
Zubrikhina, M. O.
Ushakov, V. L.
Abramova, O. V.
Yarkin, V. E.
Journal Title
Journal ISSN
Volume Title
Издатель
Научные группы
Организационные подразделения
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Организационная единица
Институт интеллектуальных кибернетических систем
Цель ИИКС и стратегия развития - это подготовка кадров, способных противостоять современным угрозам и вызовам, обладающих знаниями и компетенциями в области кибернетики, информационной и финансовой безопасности для решения задач разработки базового программного обеспечения, повышения защищенности критически важных информационных систем и противодействия отмыванию денег, полученных преступным путем, и финансированию терроризма.
Выпуск журнала
Аннотация
Mild cognitive impairment (MCI) is an important public health problem that has enormous consequences for patients, their families, the health care system, and the economy. MCI is highly likely to progress to dementia. Early premedical intervention for MCI could prevent or delay dementia's onset, which in turn would improve patients' quality of life. Thus, the goal of our research is to develop an MCI detection system using MRI-based measures. The dataset for the study consists of 62 healthy volunteers and 145 patients with MCI obtained from the «Memory Clinic» (Moscow, Russia). The morphometric data were extracted from T1-weighted structural MR images. We propose a machine learning method, which achieved an accuracy of 73%, and extract key features in brain structures that can distinguish the healthy control (HC) group from the MCI group. This study confirms the previously identified changes in the structural regions of the brain in MCI patients. Compared to the healthy control group, in the MCI group, volume increases in the Lateral Ventricle, Inferior Lateral Ventricle, and Cerebrospinal Fluid as well as volume reductions in the Amygdala, Hippocampus, and Accumbens have been found.
Описание
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Цитирование
Machine learning approaches to mild cognitive impairment detection based on structural MRI data and morphometric features / Zubrikhina, M. O. [et al.] // Cognitive Systems Research. - 2023. - 78. - P. 87-95. - 10.1016/j.cogsys.2022.12.005
URI
https://www.doi.org/10.1016/j.cogsys.2022.12.005
 https://www.scopus.com/record/display.uri?eid=2-s2.0-85144341179&origin=resultslist
 http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS_CPL&DestLinkType=FullRecord&UT=WOS:001049007100001
 https://openrepository.mephi.ru/handle/123456789/29887
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